| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2007: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Research Abstract |
Novel methods of distribution-integration data analysis were constructed based on information geometrical framework. First, three extensions of the exponential family dimension reduction have been developed : application to mixture distributions that are not exponential family, Bayesian inference by probabilistic formulation, and simultaneous optimization of dimension reduction and clustering. Next, new machine learning paradigm "taming" which integrates small number of high-quality data and large number of low-quality data based on transfer learning was proposed.
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